A Large-Scale Investigation of Gaming, Attitudes and Anxiety – (1) Introduction

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  1. 16th March 2015

    […] Remember the three scales I employed. The Satisafaction With life scale, Social Phobia Inventory and Generalized Anxiety Disorder 7. A correlational analysis reveals who much the values in two or more data sets are varying together. I found out that the more hours you play, the less satisfied with your life you tend to be (r = -.013, p < .001). Also, the more you play, the higher your social phobia (r = .09, p < .001). The relationship of “hours played” and social phobia is as expected. People who play a lot of games are likely to be socially more isolated than people who don’t. This is not exclusive to gaming but any hobby one pursues on their own taken to an extreme (like binge watching TV). More interestingly,  a lot of time spent on gaming may be due to unhappiness in life in general. As I already mentioned elsewhere, with correlational analyses we are unable to make any causal conclusions at all. To understand this, have a look at these spurious correlations. This means cannot say whether people play more because they are unhappy or are unhappy because they play more. Both might be the case, although I am inclined to believe that unsatisfactory life conditions lead to people isolate themselves more and play more games. To visualize correlations with many data points is unfortunately not easy. I tried it with hexbins. […]

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